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MPI-INF D4 Publications :: Thesis :: Sunkel, Martin

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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit

Author(s)*:Sunkel, Martin
BibTeX citekey*:SunkelThesis2013

Title, School
Title*:Statistical Part-based Models for Object Detection in Large 3D Scans
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation

Publishers Name:Saarländische Universitäts- und Landesbibliothek (SULB)
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract:3D scanning technology has matured to a point where very large scale acquisition of high resolution geometry has become feasible. However, having large quantities of 3D data poses new technical challenges. Many applications of practical use require an understanding of semantics of the acquired geometry. Consequently scene understanding plays a key role for many applications. This thesis is concerned with two core topics: 3D object detection and semantic alignment. We address the problem of efficiently detecting large quantities of objects in 3D scans according to object categories learned from sparse user annotation. Objects are modeled by a collection of smaller sub-parts and a graph structure representing part dependencies. The thesis introduces two novel approaches: A part-based chain structured Markov model and a general part-based full correlation model. Both models come with efficient detection schemes which allow for interactive run-times.
Keywords:3D object detection, 3D scan, point cloud, part-based, statistical model, Markov model, dynamic programming, machine learning
Download Access Level:Public
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Referees, Status, Dates
1. Referee:Prof. Dr. Hans-Peter Seidel
2. Referee:Dr. Michael Wand
Supervisor:Dr. Michael Wand
First Lecture Title:Statistical Part-based Models for Object Detection in Large 3D Scans
Location of Lecture:Campus E14, Room 019
Date Kolloquium:17 September 2013
Chair Kolloquium:Prof. Dr. Philipp Slusallek

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
MPG Subsubunit:Statistical Geometry Processing Group
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BibTeX Entry:

AUTHOR = {Sunkel, Martin},
TITLE = {Statistical Part-based Models for Object Detection in Large 3D Scans},
PUBLISHER = {Saarländische Universitäts- und Landesbibliothek (SULB)},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2013},
TYPE = {Doctoral dissertation}
PAGES = {121},
ADDRESS = {Saarbr{\"u}cken},
MONTH = {September},

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09/26/2013 04:11:40 PM
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Marc Schmitt
Martin Sunkel
Martin Sunkel
Martin Sunkel
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09.10.2013 11:39:37
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